---
title: Mynotebooksummary
emoji: 🔥
colorFrom: yellow
colorTo: indigo
sdk: gradio
sdk_version: 5.25.1
app_file: app.py
pinned: false
short_description: Summarize Jupyter notebooks
---

# Notebook Enhancer Prototype

This tool uses Hugging Face models to automatically enhance Python Jupyter notebooks by adding:
1. Descriptive titles before each code cell
2. Detailed summaries explaining what the code does

## Features

- Analyzes Python code in Jupyter notebooks using NLP models
- Generates concise titles for each code cell
- Creates explanatory summaries of the code's purpose and functionality
- User-friendly Gradio interface for easy upload and processing
- Works with standard `.ipynb` notebook files

## Requirements

```
pip install transformers torch gradio nbformat
```

## Usage

1. Run the application:
   ```
   python notebook_enhancer.py
   ```

2. Access the Gradio interface in your browser (typically at http://127.0.0.1:7860)

3. Upload a Jupyter notebook file (.ipynb)

4. Click "Enhance Notebook" to process the file

5. Download the enhanced notebook

## How It Works

The application uses one Hugging Face model:
- "sagard21/python-code-explainer" https://huggingface.co/sagard21/python-code-explainer


## Limitations

- The Hugging Face models have a maximum input token limit, so very long code cells may be truncated
- The quality of summaries depends on the clarity and structure of the original code
- Processing large notebooks may take some time due to the NLP models
- This is a prototype solution; more tweaking is required